Qualitative Model to Maximize Shrimp Growth at Low Cost

Abstract

In Ecuador, shrimp exports have gained importance in recent years such that it represents a strong income in the country's economy. However, some shrimp farms do not have the appropriate technology to carry out controlled and efficient automated farming. Fuzzy logic is an efficient and effective way to establish rules of behavior of a system for solving an industrial problem. This paper explores the implementation of a monitoring and control system in shrimp farming, to obtain better growth results by using a qualitative model of intelligent supervision. Finally, to evaluate this model based on linguistic rules, we analyzed the open-loop and closed-loop response